The challenge of bringing advances in sacroiliac joint imaging to the clinic.
Authors
Affiliations (3)
Affiliations (3)
- Department of Radiology and Diagnostic Imaging, University of Alberta.
- Medical Imaging Consultants, Edmonton, Alberta, Canada.
- Department of Radiology, Aarhus University Hospital, Aarhus N, Denmark.
Abstract
Recently reported criteria are more stringent for classification of axial spondyloarthritis (axSpA) in the absence of positive imaging. This places increased reliance on the accuracy of sacroiliac joint (SIJ) imaging. This review highlights some of the key challenges to bringing advances in SIJ imaging to clinical practice. The first international consensus for an MRI acquisition protocol for sacroiliitis, published in 2024, defines how the sequences should be orientated, and which sequences are required to identify various lesions that may be seen in inflammatory sacroiliitis and degeneration. However, as anatomical and physiological variation and degeneration are very common in the SIJ, new techniques are not necessarily specific for sacroiliitis and may be more sensitive to changes in the SIJ regardless of cause. Artificial intelligence techniques are currently in use for improvement in image acquisition, but models used for enhancement of diagnostic ascertainment still need development and validation. New techniques, especially adherence to a recommended MRI protocol, are essential for accurate assessment of sacroiliitis. However, the introduction of new techniques to clinical practice must be accompanied by the appropriate education to assist less experienced observers with appropriate interpretation of novel images.